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Bruna Faria

Bruna Faria

PhD student (Researcher) at Skolkovo Institute of Science and Technology

  • Joined: 2016
  • Items posted: 0
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About

Summary

Ph.D. in the Computing, Data Science and Engineering by Skoltech (Current). Master degree in Science in the specific Biochemistry and Molecular Biology field by UFSJ (2016). Bachelor's degree in Biochemistry by same institution (2014). Sandwich graduation abroad - Graduate in Biotechnology by the University of the Basque Country, Spain (2012). Participated as a guest researcher in CIC nanoGune in the research group "Nanobiomechanics", helping in the development of researches in Bioinformatics entitled "Protein Evolution/Paleoenzymes".

Currently, it integrates the Advanced Multiscale Simulations lab working with principles of computational design and optimization of molecular structures for particular applications and simulation studies of biological macromolecules. Also, operates in the field of Molecular Modeling and Dynamics of (Bio)Polymers, emphasizing surfactants and polyelectrolytes adsorption, and protein-protein interactions of immune response caused by recognition TCR(CD3)pMHC/II (T Cell Receptor-Peptide-Major Histocompatibility Complex class II). Has to experience in Physical Chemistry, Statistical Thermodynamics, Research Computational, and Programming. Worked in the development of works of scientific initiation in the field of Environmental Biotechnological and Sustainability. Moreover, the one has ease of learning and strong determination, great ability to control the quality of products and develop new proposals of innovation projects as well as the capacity of creation and improvement on pre-existing projects.

Positions

PhD student (Researcher) Nov 2018 -

Advanced Multiscale Modeling Laboratory, Skolkovo Institute of Science and Technology

Working on the doctoral thesis: "Development of statistical mechanics approaches of exploring free energy
landscapes of complex molecules";
Development of projects applying DPD to investigate surfactants, polymers and [poly]electrolyties
adsorption at phase interfaces from Free Energy point of view;
Development of projects with partner groups of several fields including industrial interest;
Teaching Assistant: Thermodynamics and Transport at Nanoscale, Soft Condensed Matter.

Master student (Researcher) Jan 2014 - Oct 2016

Laboratory of Molecular Dynamic and Simulation, Federal University of Sao Joao Del Rei

Developed master dissertation about the interactions between TCR-pMHC class II;
Co-researcher of projects about repair proteins;
Co-researcher of projects about drugs against malaria;
Co-researcher f projects using polymer and biosurfactants;
Development of projects with partners of other institutions (Embrapa and research groups of USA);
Guidance scientific research of students graduation;
Computer maintenance and support scientific-technical.

Education

Skolkovo Institute of Science and Technology - Skoltech 2018 -

Field of study: Computing and Data Science and Engineering
Degree: PhD

Thesis title: Development of statistical mechanics approaches of exploring Free Energy landscapes of complex mole. It is dedicated to four major tasks: surfactant adsorption, polymer adsorption, polyelectrolytes adsorption, and complex media. Our main aim is to generate a model able to reproduce sorption experimental data and a method to predict Free Energy for those complex systems.
The DPD and Expanded Ensemble methods are been used to parametrize and simulate the systems, and to compute excess chemical potential for each one, respectively.
Subjects Included: Introduction to Data Science, Machine Learning in Chemoinformatics, Neuroimaging
and Machine Learning for Biomedicine, Foundations of Multiscale Modelling: Kinetics, Thermodynamics and Transport at Nanoscale, Intellectual Property, Technological Innovation and Academic Research.

Federal University of Sao Joao Del Rei - UFSJ 2014 - 2016

Field of study: Biochemistry and Molecular Biology
Degree: MSc in Science

Thesis title: Study of the interaction between the TCR and pMHC by Molecular Dynamics. It was used Molecular Dynamics simulations to obtain information about the TCR-pMHC interactions. It was applied classical force field carrying out with Gromacs software to simulate eight systems by 30ns each (2 epitopes agonist and 2 epitopes antagonist tested against schistosomiasis, 1 agonist and antagonist control, and 2 epitopes autoimmune); These trajectories were analyzed by traditional methods and by Essential Dynamics Analysis, extracting too important conclusions about the immunological response start mode.
Subjects Included: Laboratory animals - Ethical Management; Border areas - Seminars in Biochemistry and Molecular Biology; Principles of Molecular Biology; Bioinformatics; Biochemistry Fundamentals; Advanced Topics in Biochemistry; Advanced Topics in Biochemistry and Molecular Biology; Planning and Execution Summer Course in Biochemistry and Molecular Biology; Biotechnology and Innovation; Molecular Modeling topics.
Specific formation in physical chemistry and theoretical chemistry with studies in the field of modeling and molecular dynamics. Independent studies about quantum mechanics, transport phenomena, programming scripts, and new analysis methods of trajectory.

Federal University of Sao Joao Del Rei - UFSJ 2009 - 2013

Field of study: Biochemistry
Degree: Bachelor

Principally formation of researchers for all areas of knowledge.
Subjects Included: Mathematics I and II; Physics; Phisico-chemical I and II; General chemistry and
organic chemistry I and II; Biostatistics and experimental statistics; Transport phenomena I and II; Unit
operations; Bioinformatics; Molecular Modeling and chemometrics; and so on. Microbiology; Physiopathology; Celular biochemistry; Biochemistry of proteins, lipids, and carbohydrates; Histology;
Genetics; Technology in vaccines and genic therapy; and so on. Instrumental methods of analysis and
spectrometric methods; Industrial process; Biotechnology of microorganisms and vegetables; Biotechnology apply health; and so on.

 

Skills

Programming skills: Python, Java, C, Bash script, R, SQL/PostgreSQL,
Machine Learning and Deep Learning frameworks (Tensorflow, Keras, PyTorch), Microsoft Office, LibreOffice, GIT (GitHub), Python libraries (NumPy, Pandas, Keras, SciKit-Learn, TensorFlow, Matplotlib, Seaborn), Web Development (HTML 5, CSS, JavaScript), Data Science, Data Analytics, Data Visualization, Linux (RHEL, CentOS, Ubuntu, Debian), Visual Basic, Auto CAD, Sketchup 8, CorelDraw, Mathematics 8.
Simulation packages: Gromacs, Lammps, Amber package, Gaussian9 software, VMD and
NAMB, DS visualizer, and Yassara software. Knowledge about programs of MM-QM hybrid methods and your applications.

Keywords: Artificial Intelligence, AutoCAD, Bash, Biochemistry , Data Analysis , Linux, Machine Learning, , Molecular Dynamic Simulation, Python

Professional interests

Researcher
Internship
Leader group
Professor Assistant

CV

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Contact details

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New opportunities

Open to new opportunities: Yes

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